Define and evolve backend architectures focusing on scalability, resilience, and performance while integrating Generative AI solutions. Contribute to the technological transition to Go and manage cloud infrastructure using AWS, Kubernetes, and Terraform.
Lead the technical implementation and evolution of Internal Developer Platforms (IDP) based on Backstage. Orchestrate technical efforts across DevOps, development, and architecture teams while ensuring alignment with business goals and stakeholder requirements.
The AI Manager will lead the organization's AI-first strategy by bridging the gap between business, product, and engineering teams. Responsibilities include structuring AI teams, defining quality standards and guardrails, and overseeing the lifecycle of innovative AI-driven digital products.
Develop and maintain backend applications using Java while designing and implementing RESTful APIs. Collaborate with multidisciplinary squads to evolve event-driven architectures and ensure high-performance code quality.
The specialist will design and maintain robust data architectures, including Data Lakes, Data Warehouses, and Lakehouses to ensure scalability and governance. They will also implement efficient ETL/ELT pipelines and define technical standards to optimize data usage across the organization.
Lead the design and implementation of scalable, high-performance services using Java and modern architectural patterns. Mentor developers while defining technical standards and ensuring operational resilience across distributed systems.
Define the long-term architectural vision and AI engineering standards for high-criticality systemic products. Manage the technical and economic governance of AI models, balancing costs, latency, security, and data privacy.
The candidate will architect and implement E2E automation frameworks for frontend and APIs while integrating them into CI/CD pipelines. They will also define quality standards, mentor the team, and collaborate with developers to ensure high test coverage and reliability.
Define enterprise and solution architectures aligned with organizational strategy, lead technical discussions and decisions, and produce detailed architecture documentation. Support development teams, ensure compliance with architecture and security standards, resolve complex cloud and microservices bottlenecks, and influence the organization’s technology direction.
Define back-end system architecture with a focus on scalability, security, and maintainability while leading technical decisions. Actively participate in hands-on development, code reviews, and mentoring the team to elevate technical standards.
The Tech CS will conduct technical onboardings, workshops, and demonstrations to accelerate customer adoption of the StackSpot platform. They will act as a strategic bridge between customers, Product, and Engineering teams to translate technical feedback into platform improvements.
The Customer Success Manager will build trust-based relationships with clients to drive platform adoption and ensure long-term value generation. They will manage the customer journey, from onboarding to identifying expansion opportunities and conducting executive business reviews.
The specialist will lead end-to-end data science projects, developing and deploying machine learning models with a focus on causality and scalability. They will also act as a technical reference, mentoring team members and ensuring the governance of machine learning artifacts.
Develop and maintain high-performance backend services using Kotlin for critical banking core systems on AWS. Implement cloud-native solutions, manage container orchestration via Kubernetes, and ensure secure, scalable event processing with Kafka and SQS.
